Course Catalogue. for the Master s Programme in Social and Economic Data Analysis/Science. Summer Semester 2018

Transcription

1 University of Konstanz Faculty of Law, Economics and Politics Department of Economics Course Catalogue for the Master s Programme in Social and Economic Data Analysis/Science University of Konstanz Department of Economics Box Konstanz Germany Tel.: +49 (0) Fax: +49 (0) Alexandra.Morris@uni-konstanz.de Website: Summer Semester 2018 Version: 13/04/2018

2 Course Advice for Students of the Master's Programme in Social and Economic Data Science Alexandra Morris Room F 264 Tel.: (07531) Fax: (07531) Alexandra.Morris@uni-konstanz.de Website: Office Hours: Tuesday, Thursday, 10:00 12:00 Student Course Guidance: Franziska Fobbe seds.msc@uni-konstanz.de Dates of the Summer Semester 2018 Lectures begin: Monday, 16 th April 2018 Lectures end: Saturday, 21 st July 2018 Registration period of the Department of Economics: Exam registration period: 26 th June 02 nd July 2018 Examination period I: 12 th July- 04 th August 2018 Exam registration period: 11 th September-17 th September 2018 Examination period II: 4 th October -27 th October 2018 Seminar registration period for Winter Semester 2018/19: 26 th June 02 nd July 2018 Registration periods of the Department of Politics and Public Administration: Exam registration period I: 01 st May 15 th June 2018 Exam Registration II: 14 th September 19 th September 2018

3 Exam Registration Periods of the Department of Computer and Information Science Not yet online Exam Registration Periods of the Department of History and Sociology Registration period (StudIS): 1 st May 15 th June 2018 Exam Registration Periods of the Department of Mathematics and Statistics Registration: Students are able to apply via StudIS up to seven days before the exam. Exam Registration Periods of the Department of Psychology Not yet online Dates of the Winter Semester 2018/19 Lectures begin: Monday, 22 nd October 2018 Lecture-free period: 22 nd December, th January, 2019 Lectures end: Saturday, 16 th February 2019

4 1. Foundations of Data Analysis Courses Focus Area: Computer Sciences Datenbanksysteme, 4+2 hours (9 ECTS) Tuesday, 11:45 13:15, A 701 Thursday, 11:45 13:15, A 701 Group A: Tuesday, 13:30 15:00, P 601 Group B: Tuesday, 15:15 16:45, M 901 Group C: Wednesday, 15:15 16:45, P 601 Group D: Thursday, 08:15 09:45, Z 1003 Konzepte der Informatik, 4+2 hours (6 ECTS) Tuesday, 13:30 15:00, A 702 Friday, 10:00 11:30, A 702 M. Scholl M. Hotz B. Pampel Wednesday, 11:45 13:15, D 406 Thursday, 17:00 18:30, M 630 In combination with Programmierkurs I, 2 hours (6 ECTS) Wednesday, 10:00 11:30, L 602 J. Fuchs Monday, 15:15 16:45, L 829 Monday, 17:00 18:30, L 829 Tuesday, 15:15 16:45, ML 630 Konzepte der Programmierung, 4+2 hours (4 ECTS) Monday, 10:00 11:30, M 629 Tuesday, 10:00 11:30, A 701 M.Grossniklaus 6 Tutorials For time and room see: ZEUS in combination with: Programmierkurs II, 2 hours (5 ECTS) Monday, 13:30 15:00, A 701 M.Grossniklaus

5 Focus Area: Statistics Statistics I (Dept. of Economics), 2+2 hours (6 ECTS) Friday, 10:00 11:30, R 711 R. Brüggemann 12 Tutorials For time and room see ZEUS Statistik (Dept. of Politics and Public Administration), 4 hours (9 ECTS) Tuesday, 15:15 16:45, R 711 Wednesday, 10:00-11:30, R 711 Statistik I (Dept. of Sociology), 2+2 hours (7 ECTS) Monday, 10:00 11:30, R 513 S. Köhler M. Buis 6 Tutorials For time and room see ZEUS. Focus Area: Social Scientific Methods Econometrics I (Dept. of Economics), 4+2 hours (8 ECTS) Thursday, 08:15-09:45, A 701 Friday, 08:15-09:45, A 701 W. Pohlmeier 7 Tutorials For time and room see ZEUS 2. Advanced Methods of Data Analysis Courses Big Data Management and Analysis, 5+2 hours (6 ECTS) Tuesday, 15:15 16:45, A 702 M.Grossniklaus Wednesday, 17:00 18:30, A 704 New course offer (not compulsory but targeted at MSc SEDS students): Machine Learning, 2+1 hours (6 ECTS) Mondays, 15:15 16:45, D 436 Mondays 17:00 18:30, fortnightly, V 203 L. Grigoryeva

6 Timetable Foundations of Data Analysis and Advanced Methods of Data Analysis Summer Semester 2018 Time Monday Tuesday Wednesday Thursday Friday Econometrics I (L) / Econometrics I (L) / Pohlmeier Pohlmeier 8:15 9:45 10:00 11:30 Konzepte der Programmierung (L) / Grossniklaus Statistik I (L) / Buis Konzepte der Programmierung (L) / Grossniklaus Statistik (L) / Köhler Programmierkurs I (L) / Fuchs Statistics I (L) / Brüggemann Konzepte der Informatik (L) / Pampel 11:45 13:15 Datenbanksysteme (L) / Scholl Konzepte der Informatik (T) Datenbanksysteme (L) / Scholl 13:30 15:00 Programmierkurs II (L) / Grossniklaus Konzepte der Informatik (L) / Pampel 15:15 16:45 Programmierkurs I (T) / Fuchs Machine Learning (L) / Grigoryeva Programmierkurs I (T) / Fuchs Statistik (L) / Köhler Big Data Management and Analysis (L) / Grossniklaus 17:00 18:30 Programmierkurs I (T) / Fuchs Machine Learning (T) / Grigoryeva Big Data Management and Analysis (T) / Grossniklaus Konzepte der Informatik (T) L = Lecture, T = Tutorial

7 PREVIEW WINTER SEMESTER 2018/19 1. Introduction to Computational Methods for the Social Sciences K. Donnay 2. Foundations of Data Analysis Focus Area: Computer Sciences Data Vizualisation, (6 ECTS) Focus Area: Mathematics Diskrete Mathematik und Logik, (9 ECTS) Datenmathematik, (9 ECTS) Mathematik für Wirtschaftswissenschaftler, hours (9 ECTS) Lineare Algebra, hours (9 ECTS) Focus Area: Statistics Statistik I (Dept. of Psychology), hours (6 ECTS) Focus Area: Social Scientific Methods Introduction to Survey Methodology, hours (9 ECTS) Methoden der emp. Politik- und Verwaltungsforschung, 4 hours (9 ECTS) Empirie: Quantitative Methoden, hours (6/7 ECTS) Research Design I, hours (9 ECTS) Methoden I, (5 ECTS) 2. Advanced Methods: Computer Science Konzepte der Programmierung (6 ECTS) in combination with Programmierkurs III (6 ECTS) 3. Advanced Methods: Statistics Advanced Econometrics, hours (10 ECTS) Advanced Time Series Analysis, (8 ECTS) 4. Programming and Scripting Data Analysis with R, (7 ECTS) Programmierkurs I, (6 ECTS) Programmierkurs III, (6 ECTS) - 5 -